Job Description


  • Support post‑acquisition integrations, including data migration, mapping, validation, and system alignment

  • Contribute to the implementation and continuous development of the ERP platform

    • Design andmaintainscalable data architectures and models supporting finance andbusinessanalytics

  • Build and optimize data warehouses on Google BigQuery (advanced SQL, partitioning, clustering, efficient loading)

  • Develop modular, documented transformation layers using dbt or equivalent tools

  • Implement and orchestrate data pipelines using Apache Airflow (Cloud Composer)

  • Use Python for data processing, automation, and API integrations

  • Ensure data quality, reliability, and availability through monitoring, logging, and governance best practices






  • Bachelor's or Master's in Finance, Computer Science, Data Engineering, or related field

  • 2+ years as a Data Engine...

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